Dataset Information

Prospective validation of a predictive scoring system for deep sternal wound infection after routine bilateral internal thoracic artery grafting.

ABSTRACT:

Objectives

The Gatti score is a weighted scoring system based on risk factors for deep sternal wound infection (DSWI) that has been specifically created to predict DSWI risk after routine bilateral internal thoracic artery (BITA) grafting. It has not undergone an external validation. The aim of the present study was to perform this validation.

Methods

BITA grafts were used as skeletonized conduits in 304 (90.7%) of 335 consecutive patients with multivessel coronary artery disease who underwent isolated coronary bypass surgery at the authors' institution between January 2014 and July 2015. Baseline characteristics, operative data and immediate outcomes of every patient were prospectively collected in a computerized data registry. A score was assigned to each patient preoperatively. The goodness-of-fit and the discrimination power of both models, preoperative and combined, of the Gatti score were assessed with the Hosmer-Lemeshow test and the calculation of the area under the receiver-operating characteristic curve, respectively.

Results

Eighteen (5.9%) patients suffered from DSWI. Major differences were found between the original series whence the Gatti score has been derived and the present prospective series. The Gatti score goodness-of-fit was satisfactory for both the preoperative (P = 0.61) and the combined model (P = 0.81). The area under the receiver-operating characteristic curve was 0.82 (95% confidence interval: 0.72-0.91) for the preoperative model and 0.8 (95% confidence interval: 0.71-0.9) for the combined model.

Conclusions

On the basis of the results of the present prospective study, the Gatti score has proved to be effective in predicting DSWI following BITA grafting despite some differences between the original and the present series of patients. More studies have to be performed in order to strengthen the evidence of this first external validation.

SUBMITTER: Gatti G

PROVIDER: S-EPMC4892156 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Publications

Prospective validation of a predictive scoring system for deep sternal wound infection after routine bilateral internal thoracic artery grafting.

Gatti Giuseppe G Barbati Giulia G Luzzati Roberto R Sinagra Gianfranco G Pappalardo Aniello A

Interactive cardiovascular and thoracic surgery 20160217 5

<h4>Objectives</h4>The Gatti score is a weighted scoring system based on risk factors for deep sternal wound infection (DSWI) that has been specifically created to predict DSWI risk after routine bilateral internal thoracic artery (BITA) grafting. It has not undergone an external validation. The aim of the present study was to perform this validation.<h4>Methods</h4>BITA grafts were used as skeletonized conduits in 304 (90.7%) of 335 consecutive patients with multivessel coronary artery disease ...[more]

PMID: 26892193

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Project description:BackgroundBilateral internal thoracic arteries (BITA) coronary bypass grafting may improve long-term outcomes but is associated with increased deep sternal wound infections (DSWIs). We analyzed whether BITA skeletonization impacts DSWIs and operative mortality (OM) using The Society of Thoracic Surgeons Adult Cardiac Surgery Database.MethodsPrimary, isolated, nonemergent/nonsalvage BITA patients (July 2017 to December 2018) in The Society of Thoracic Surgeons Adult Cardiac Surgery Database were divided into groups based on BITA harvesting technique: both skeletonized (ssBITA) and ≥1 nonskeletonized (Non-ssBITA). DSWI and OM observed-to-expected (O/E) ratios were compared using The Society of Thoracic Surgeons Perioperative Risk Models. ssBITA versus Non-ssBITA DSWI and OM adjusted odds ratios were calculated by multivariable logistic regression and corroborated by propensity score matching.ResultsWe analyzed 11,269 patients (42.8% ssBITA, 57.2% Non-ssBITA, 770 hospitals, 1448 surgeons). The ssBITA group had a higher incidence of comorbidities and off-pump surgery. Overall incidences of DSWIs and OM were 0.98% (O/E ratio, 5.1) and 1.72% (O/E ratio, 1.4), respectively, and were 28% (P = .129) and 23% (P = .096) lower in ssBITA. The DSWI O/E ratio was highest (5.9) in Non-ssBITA and lowest in ss-BITA (4.1). After multivariable adjustment, ssBITA was associated with a decreased risk of DSWIs (adjusted odds ratio, 0.66; 95% confidence interval, 0.44-1.00; P = .05), with no difference in OM. These results were confirmed among 3884 propensity score-matched pairs. DSWIs increased sharply with increasing number of risk factors for DSWIs regardless of harvesting technique, with a trend for higher DSWIs among Non-ssBITA for all risk categories.ConclusionsThe observed high O/E ratio indicates that BITA grafting is associated with increased risk of DSWIs. Risk-adjusted DSWI rate and a lower O/E ratio in ssBITA support the protective role of skeletonization.

Project description:BACKGROUND:Several risk scores have been created to predict long term mortality after coronary artery bypass grafting (CABG). Several studies demonstrated a reduction in long-term mortality following bilateral internal thoracic arteries (BITA) compared to single internal thoracic artery. However, these prediction models usually referred to long term survival as survival of up to 5 years. Moreover, none of these models were built specifically for operation incorporating BITA grafting. METHODS:A historical cohort study of all patients who underwent isolated BITA grafting between 1996 and 2011 at Tel-Aviv Sourasky medical center, a tertiary referral university affiliated medical center with a 24-bed cardio-thoracic surgery department. Study population (N = 2,935) was randomly divided into 2 groups: learning group which was used to build the prediction model and validation group. Cox regression was used to predict death using pre-procedural risk factors (demographic data, patient comorbidities, cardiac characteristics and patient's status). The accuracy (discrimination and calibration) of the prediction model was evaluated. METHODS AND FINDINGS:The learning (1,468 patients) and validation (1,467 patients) groups had similar preoperative characteristics and similar survival. Older age, diabetes mellitus, chronic obstructive lung disease, congestive heart failure, chronic renal failure, old MI, ejection fraction ?30%, pre-operative use of intra-aortic balloon, and peripheral vascular disease, were significant predictors of mortality and were used to build the prediction model. The area under the ROC curves for 5, 10, and 15-year survival ranged between 0.742 and 0.762 for the learning group and between 0.766 and 0.770 for the validation group. The prediction model showed good calibration performance in both groups. A nomogram was built in order to introduce a simple-to-use tool for prediction of 5, 10, and 15-year survival. CONCLUSIONS:A simple-to-use validated model can be used for a prediction of 5, 10, and 15-year mortality after CABG using the BITA grafting technique.

Dataset Information

Prospective validation of a predictive scoring system for deep sternal wound infection after routine bilateral internal thoracic artery grafting.

Objectives

Methods

Results

Conclusions

Publications

Prospective validation of a predictive scoring system for deep sternal wound infection after routine bilateral internal thoracic artery grafting.

Similar Datasets

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